How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China

Ding, Liping; Zhang, Fan; Shuai, Jing

doi:10.3390/en11010228

Cited by 10 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A PV system is easier to operate than a diesel generator as compared to an alternative electrical energy source. This system is capable of reducing running costs, requires low maintenance, and exerts minimal environmental impact [ 17 ]. The last few years have witnessed the significant maturity of PV technology, which enabled the standardization of modular components.…”

Section: Stand-alone Photovoltaic Systemmentioning

confidence: 99%

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Pazikadin

Rifai

Ali

et al. 2020

Sensors

View full text Add to dashboard Cite

Photovoltaic (PV) systems need measurements of incident solar irradiance and PV surface temperature for performance analysis and monitoring purposes. Ground-based network sensor measurement is preferred in many near real-time operations such as forecasting and photovoltaic (PV) performance evaluation on the ground. Hence, this study proposed a Fuzzy compensation scheme for temperature and solar irradiance wireless sensor network (WSN) measurement on stand-alone solar photovoltaic (PV) system to improve the sensor measurement. The WSN installation through an Internet of Things (IoT) platform for solar irradiance and PV surface temperature measurement was fabricated. The simulation for the solar irradiance Fuzzy Logic compensation (SIFLC) scheme and Temperature Fuzzy Logic compensation (TFLC) scheme was conducted using Matlab/Simulink. The simulation result identified that the scheme was used to compensate for the error temperature and solar irradiance sensor measurements over a variation temperature and solar irradiance range from 20 to 60 °C and from zero up to 2000 W/m2. The experimental results show that the Fuzzy Logic compensation scheme can reduce the sensor measurement error up to 17% and 20% for solar irradiance and PV temperature measurement.

show abstract

Section: Stand-alone Photovoltaic Systemmentioning

confidence: 99%

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Pazikadin

Rifai

Ali

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The angle correction factor (R t ) should be considered when calculating the direct solar radiation received by the solar photovoltaic modules because of the influence of the angle between the normal vector of the solar photovoltaic modules and the direction vectors of the solar rays. R t can be expressed as Equation (9) [43,44]:…”

Section: Calculation Of S T and R Tmentioning

confidence: 99%

“…However, PV potential map is the precondition and foundation of large-scale development of PV. China has a vast territory and abundant solar resources, making it an appropriate country to develop and utilize solar energy resources [9]. The China National Energy Administration announced that the government aimed to reach the capacity of 100 GW of solar photovoltaic by 2020 in its 13th Five-Year Plan.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images

et al. 2018

View full text Add to dashboard Cite

Solar energy is the most clean renewable energy source and has good prospects for future sustainable development. Installation of solar photovoltaic (PV) systems on building rooftops has been the most widely applied method for using solar energy resources. In this study, we developed an approach to simulate the monthly and annual solar radiation on rooftops at an hourly time step to estimate the solar PV potential, based on rooftop feature retrieval from remote sensing images. The rooftop features included 2D rooftop outlines and 3D rooftop parameters retrieved from high-resolution remote sensing image data (obtained from Google Maps) and digital surface model (DSM, generated from the Pleiades satellite), respectively. We developed the building features calculation method for five rooftop types: flat rooftops, shed rooftops, hipped rooftops, gable rooftops and mansard rooftops. The parameters of the PV modules derived from the building features were then combined with solar radiation data to evaluate solar photovoltaic potential. The proposed method was applied in the Chao Yang District of Beijing, China. The results were that the number of rooftops available for PV systems was 743, the available rooftop area was 678,805 m2, and the annual PV electricity potential was 63.78 GWh/year in the study area, which has great solar PV potential. The method to perform precise calculation of specific rooftop solar PV potential developed in this study will guide the formulation of energy policy for solar PV in the future.

show abstract

“…The research by Ding showed that residents in different regions have different expectations for photovoltaic power generation facilities. The government should adopt useful policies to promote photovoltaic projects according to local conditions [22].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

et al. 2019

View full text Add to dashboard Cite

With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

show abstract

How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China

Cited by 10 publications

References 27 publications

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System

An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images

Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

Contact Info

Product

Resources

About